Device usage message generator indicative of power consumption of an electronic device

ABSTRACT

Technologies are generally described for systems, devices and methods effective to generate a message that may be sent to a social network. Power information from an electronic device may be detected by a power detector and received by a processor. For example, a power consumption profile of an appliance may be detected. The processor may classify the power information to produce descriptive data. For example, the processor may determine that an oven has been turned on for a period of time. The processor may generate the message by applying one or more rules to the descriptive data. For example, the processor may generate a message relating to consumption of dinner based on the determination that the oven has been turned on.

CROSS-REFERENCE TO RELATED APPLICATIONS

This Application is a continuation under 35 U.S.C. § 120 of U.S. patentapplication Ser. No. 14/391,640 filed on Oct. 9, 2014, which in turn isa U.S. National Stage filing under 35 U.S.C. § 371 of InternationalApplication Ser. No. PCT/US2014/031021 filed on Mar. 18, 2014. Thedisclosures of U.S. patent application Ser. No. 14/391,640 andInternational Application Ser. No. PCT/US2014/031021 are herebyincorporated by reference in their entirety.

BACKGROUND

Unless otherwise indicated herein, the materials described in thissection are not prior art to the claims in this application and are notadmitted to be prior art by inclusion in this section.

Appliances and other electronics may be equipped with network technologyand may be capable of communicating with one another. Additionally,devices equipped with networking technology may allow for communicationwith a power grid. Use of some devices may be detected by analyzing apower consumption profile used by the device.

SUMMARY

In some examples, message generators are generally described. Variousmessage generators may include a processor. Message generators mayinclude a power detector configured to be in communication with theprocessor. In further examples, message generators may include a memoryconfigured to be in communication with the processor. The memory may beeffective to store instructions. In examples including a power detector,the power detector may be effective to detect power information from anelectronic device. The power detector may be further effective to sendthe power information to the processor. The processor may be effectiveto classify the power information, in response to the instructionsstored in the memory, to produce descriptive data about the powerinformation. The processor may be effective to apply one or more rulesto the descriptive data to generate the message.

In some other examples, methods for generating a message are generallydescribed. In various examples, the methods may include detecting, by apower detector, power information from an electronic device. The methodsmay include receiving, by a processor, the power information from thepower detector. The methods may include classifying, by the processor,the power information to produce descriptive data. The methods mayinclude generating, by the processor, the message by applying one ormore rules to the descriptive data.

In some examples, methods for generating content based on powerinformation are generally described. The methods may include detecting,by a power detector, the power information from an electronic device.Some example methods may include classifying, by a processor, the powerinformation to produce descriptive data. The methods may further includeapplying, by the processor, one or more rules to the descriptive data.The methods may further include identifying, by the processor, anactivity based on the application of the one or more rules to thedescriptive data. The methods may further include sending, by theprocessor, an indication of the activity to a content server configuredto be in communication with the processor. The methods may includereceiving, by the processor from the content server, content related tothe activity.

The foregoing summary is illustrative only and is not intended to be inany way limiting. In addition to the illustrative aspects, embodiments,and features described above, further aspects, embodiments, and featureswill become apparent by reference to the drawings and the followingdetailed description.

BRIEF DESCRIPTION OF THE FIGURES

The foregoing and other features of this disclosure will become morefully apparent from the following description and appended claims, takenin conjunction with the accompanying drawings. Understanding that thesedrawings depict only several embodiments in accordance with thedisclosure and are, therefore, not to be considered limiting of itsscope, the disclosure will be described with additional specificity anddetail through use of the accompanying drawings, in which:

FIG. 1 illustrates an example system that can be utilized to implement adevice usage message generator;

FIG. 2 depicts the example device usage message generator of FIG. 1 withdetails relating to a device usage engine;

FIG. 3 depicts the example device usage message generator of FIG. 1 withfurther details relating to the device usage engine;

FIG. 4 depicts a flow diagram for an example process for implementing adevice usage message generator;

FIG. 5 illustrates an example computer program product that can beutilized to implement a device usage message generator; and

FIG. 6 is a block diagram illustrating an example computing device thatis arranged to implement a device usage message generator; all arrangedaccording to at least some embodiments described herein.

DETAILED DESCRIPTION

In the following detailed description, reference is made to theaccompanying drawings, which form a part hereof. In the drawings,similar symbols typically identify similar components, unless contextdictates otherwise. The illustrative embodiments described in thedetailed description, drawings, and claims are not meant to be limiting.Other embodiments may be utilized, and other changes may be made,without departing from the spirit or scope of the subject matterpresented herein. The aspects of the present disclosure, as generallydescribed herein, and illustrated in the drawings, can be arranged,substituted, combined, separated, and designed in a wide variety ofdifferent configurations.

This disclosure is generally drawn to, inter alia, methods, apparatus,systems, devices, and computer program products related to a deviceusage message generator.

Briefly stated, technologies are generally described for systems,devices and methods effective to generate a message that may be sent toa social network. Power information from an electronic device may bedetected by a power detector and received by a processor. For example, apower consumption profile of an appliance may be detected. The processormay classify the power information to produce descriptive data. Forexample, the processor may determine that an oven has been turned on fora period of time. The processor may generate the message by applying oneor more rules to the descriptive data. For example, the processor maygenerate a message relating to consumption of dinner based on thedetermination that the oven has been turned on.

FIG. 1 illustrates an example system 100 that can be utilized toimplement a device usage message generator, arranged in accordance withat least some embodiments described herein. System 100 may include amessage generator 102 and a power line interface 110 such as an outlet.Message generator 102 may be coupled to power line interface 110 througha coupling 122. Coupling 122 may be a power line capable of transmittingpower and/or data. Power line interface 110 may be one or more poweroutlets or other interfaces coupled to a power grid. Devices 116, 118and/or 120 may be configured to be in communication with messagegenerator 102. Message generator 102 may be configured to be incommunication with a social network 114 over a network 112. Network 112may be, for example, the Internet, a cellular network, etc. Althoughthree devices are described and depicted, any number of devices may beused with system 100.

Devices 116, 118 and 120 may be electrically powered. In some examples,devices 116, 118 and 120 may be one or more home appliances, computingdevices, televisions, washing machines, electric ovens, gas ovens withelectronic control systems, refrigerators, freezers, air conditioners,heaters, business machines, lighting, water heaters, etc. In someexamples, one or more of devices 116, 118 and/or 120 may be capable ofcommunicating over a network. In some examples, devices 116, 118 and/or120 may communicate via power-lines and/or wirelessly through a ZIGBEE,Open ADR (automated demand response), IEEE (Institute of Electrical andElectronics Engineers) 802.11, or other communication protocols. Forexample, devices 116, 118 and 120 may transmit information to and/orreceive information from, other networked devices. The information maybe related to load requirements, power consumption, devicespecifications, operational states and/or other information related to adevice or power grid performance. In various other examples, one or moreof devices 116, 118 and/or 120 may be without integrated networkingtechnology.

Message generator 102 may include a memory 108, a processor 106, and/ora device usage engine 104, at least some of which may be configured tobe in communication with one another. Device usage engine 104 mayinclude a power detector 130. Power detector 130 may be hardwareconfigured to receive power information from one or more of devices 116,118, 120 and/or other devices. Power detector 130 may be configured totransmit and receive wired and/or wireless signals. Power detector 130may be configured to be in communication with processor 106. Deviceusage engine 104 may be implemented as hardware or as some combinationof hardware and instructions executable on the hardware. Power detector130 may be configured to detect power information 124 generated bydevices 116, 118, and/or 120. Power detector 130 may send powerinformation 124 to processor 106. As discussed in more detail below,based on power information 124 received from devices 116, 118 and/or 120and instructions stored in memory 108, device usage engine 104 maygenerate one or more messages 126. For example, messages 126 may includestatus updates or other information related to power information 124which may be visible to users of social network 114. Messages 126 may besent over network 112 (e.g., the Internet) to social network 114. In anexample, messages 126 may be integrated into a user profile of socialnetwork 114. In a further example, messages 126 may be broadcast toother users of social network 114. Social network 114 may be forexample, a social media service such as FACEBOOK, TWITTER, INSTAGRAM,TUMBLR, etc.

FIG. 2 depicts example device usage message generator 102 with detailsrelating to a device usage engine 104, arranged in accordance with atleast some embodiments described herein. Those components in FIG. 2 thatare labeled identically to components of FIG. 1 will not be describedagain for the purposes of clarity and brevity.

Device usage engine 104 may further include a classification module 206.Power detector 130 may include a power line sniffer 202 and/or a dataaggregator 204. Power line sniffer 202 and data aggregator 204 may beconfigured to receive power information 124 related to one or moredevices configured to be in communication with system 100. Power linesniffer 202 may be configured to be in communication with classificationmodule 206. In an example, power line sniffer 202 may be coupled to theelectrical system of a building such as through coupling 122. Power linesniffer 202 may receive power information 124 related to devices 116,118, and/or 120. Power line sniffer 202 may detect power information 124which may include one or more digital and/or analog power signalsrelated to power consumption, load requirements, device specifications,operational states and/or other information related to devices 116, 118and/or 120. In an example, device 120 may be without networkingtechnology. Power line sniffer 202 may detect power information 124 viapower lines such as through wired ZIGBEE, Open ADR, IEEE 802.11 and/orother communication protocols wired or wireless. Power information 124may include one or more digital and/or analog power signals related topower consumption, load requirements, device specifications, operationalstates and/or other information related to device 120. In an example,power information 124 may include one or more analog power signals thatrepresent a characteristic inductive ringing and/or a characteristicimpulse response of device 120.

Power line sniffer 202 may detect power information 124 generated bydevices 116, 118 and/or 120 even in examples where devices 116, 118and/or 120 lack networking technology. Power line sniffer 202 may becapable of identifying a particular device based on a power consumptionprofile in power information 124 such as through the use of Demand SideManagement Type signals or Digital Direct Load Scheduling Strategies. Inanother example, a power meter 220 may receive power information 124from one or more of devices 116, 118 and/or 120. Power meter 220 may becapable of identifying a particular device based on a power consumptionprofile in power information 124 such as through the use of power linesignaled reports, Demand Side Management Type signals, or Digital DirectLoad Scheduling Strategies. Power meter 220 may provide powerinformation 124 to power detector 130 in a digital format. Power meter220 may be, for example, a power management system configured to receiveinformation from networked devices based on power consumption profilesand/or broadcasted digital data. In some examples, power meter 220 maybe installed in an electrical system at a point between devices 116,118, and/or 120 and message generator 102. In another example, powermeter 220 may be installed between power line interface 110 andtransmission lines 240 such as in a fuse box.

Data aggregator 204 may be implemented as hardware and/or as combinationof hardware and instructions executable on the hardware. Data aggregator204 may be located within power detector 130 or at a location externalto power detector 130. In an example, data aggregator 204 may be locatedexternally from message generator 102 and may aggregate powerinformation 124 from two or more locations in a power grid. Dataaggregator 204 may be configured to be in communication withclassification module 206. In another example, data aggregator 204 maybe located within power meter 220. In examples where devices 116, 118,and/or 120 are capable of communicating with other devices over anetwork, devices 116, 118, and/or 120 may broadcast power information124 that includes digital data related to power consumption and/ordevice identification. Data aggregator 204 may receive power information124 broadcast from devices 116, 118 and/or 120. In an example, device116 may be capable of communicating with other devices over power linesand/or another network. Device 116 may broadcast or otherwise transmitpower information 124 that includes digital data representing a deviceserial number (e.g. washing machine ABC) and/or rates of powerconsumption. Data aggregator 204 may receive power information 124 fromdevice 116.

Power line sniffer 202 may provide power event data 222 toclassification module 206. Data aggregator 204 may provide power eventdata 223 to classification module 206. Power event data 222 and powerevent data 223 may include identities and/or power consumption data fordevices 116, 118 and/or 120. In an example, power event data 222 mayindicate that washing machine ABC has been running for 45 minutes. Powerevent data 222 and power event data 223 may be generated by power linesniffer 202 and data aggregator 204, respectively, in response to powerinformation 124. For example, power line sniffer 202 may generate powerevent data 222 in response to power information 124 received from device120. In another example, data aggregator 204 may generate power eventdata 223 in response to power information 124 received from device 118.

Classification module 206 may be implemented as hardware, or as acombination of hardware and instructions executable on the hardware.Classification module 206 may receive power event data 222, 223 frompower line sniffer 202 and data aggregator 204, respectively.Additionally, classification module 206 may receive inputs from one ormore sources external to message generator 102. In some examples,classification module 206 may receive input from exterior sensors orother data that may be used to process power event data 222 or powerevent data 223. In some examples, exterior sensors may include timesensors, weather sensors, sensors to indicate the presence or activityof people (e.g., via inertial sensors and/or infrared sensors), sensorsto indicate the presence or absence of portable electronic devices, etc.For example, classification module 206 may receive profiles of a userusing system 100 such as through network 112. Classification module 206may receive sensor data as inputs through network 112 relating to anactivity associated with usage of devices 116, 118, 120. Classificationmodule 206 may generate probabilistic data via algorithms that analyzepower event data 222 or power event data 223, etc. For example,classification module 206 may analyze power event data 222 illustratingthat a user ran an oven for 20 minutes, and then a microwave for 5minutes. Classification module 206 may determine that historically, whenthe user ran the oven and microwave for these durations, the user atedinner and so, from a probabilistic standpoint, the user is likelyeating dinner again. Classification module 206 may classify power eventdata 222, 223 and other inputs mentioned above, such as through sensorsor from network 112, as semantic data 224 based on instructions and/orrules stored in memory 108. Semantic data 224 may be descriptive dataabout power information 124 and may identify an activity.

In an example where system 100 is instantiated in a household, powerevent data 222, 223 may identify device 118 as a television which hasbeen operating with a characteristic power consumption profile for 5minutes. Based on power event data 222, 223, classification module 206may produce semantic data 224—“Watching Television.” In another example,power event data 222, 223 may identify and provide power consumptionprofiles and duration information for several electric lights within ahousehold. Power event data 222, 223 may indicate that a bedroom lightwas the final light to be turned off after several other lights werepreviously turned off. Based on power event data 222, 223,classification module 206 may produce semantic data 224—“Going to Bed.”

In another example where system 100 is instantiated in a household, anexternal temperature sensor and/or an infrared sensor may provide datato classification module 206 related to an increasing temperature and/ora motion signal resulting from two people entering the household.Classification module 206 may produce semantic data 224—“Two people haveentered the house” based on the rate of temperature change and based onthe motion signal associated with two people entering the household.

As will be discussed in further detail below, semantic data 224 may beused to generate one or more messages 126 for social network 114.Messages 126 may be generated based on the application of one or morerules stored in memory 108. In some examples, message generator 102 mayinclude an indicator, such as a hashtag or icon, included with messagesgenerated for social network 114. The indicator may signify that themessages were generated by message generator 102.

In another example, semantic data 224 may be used to generate one ormore messages to be sent to a content server 230 that stores content.Content server 230 may provide content in response to receipt of one ormore messages. In an example, power event data 222, 223 may be used byclassification module 206 to produce semantic data 224—“Grilling Steak.”Semantic data 224 may be used to generate message 126 related to“Grilling Steak.” Message generator 102 may send message 126 overnetwork 112 to content server 230. Content server 230 may sendadvertisements and/or other content related to semantic data 224“Grilling Steak” and/or related to message 126. For example, contentserver 230 may send content which suggests wine pairings for steakand/or recipes for complimentary vegetable side dishes.

FIG. 3 depicts device usage message generator 102 with still furtherdetails relating to device usage engine 104, arranged in accordance withat least some embodiments described herein. Those components in FIG. 3that are labeled identically to components of FIGS. 1 and 2 will not bedescribed again for the purposes of clarity and brevity.

Device usage engine 104 may further include a rules module 304 and acontent generator 308. Classification module 206 may combine semanticdata 224 into a power line events list 302. Power line events list 302may be an array, table, list, queue, or other data structure adapted tolist descriptive data 310 represented by semantic data 224. Power lineevents list 302 may be stored in memory 108 or in another memoryassociated with message generator 102.

Descriptive data 310 in power line events list 302 may be accessible byrules module 304. Rules module 304 may be hardware or some combinationof hardware and instructions executable on the hardware. Rules module304 may apply one or more rules to descriptive data 310 and identify anactivity associated with usage of device 116, 118, 120 in response. Insome examples, descriptive data 310 may include an identification of anactivity associated with usage of device 116. Rules module 304 may alsoprovide content based on descriptive data 310 received from power lineevents list 302. Rules module 304 may include an interface 306.Interface 306 may allow for a user to generate and/or program new rulesto provide content based on descriptive data 310. For example, a usermay create a rule to be applied to a group of descriptive data 310 inpower line events list 302.

In an example, descriptive data 310 of power line events list 302 mayinclude the description “Going to bed.” Rules module 304 may include arule that may be triggered by descriptive data: “Going to bed.” Forexample, rules module 304 may include a rule that is effective togenerate a social media post: “Bedtime for Alice!” when the activity“Going to bed” is received. Content generator 308 may be hardware orsome combination of hardware and instructions executable on thehardware. Content generator 308 may be configured to generate messages126 based on the application of rules of rules module 304 to activitiesand/or descriptive data 310. Messages 126 may relate to an activityassociated with usage of one or more of electronic devices 116, 118,and/or 120. Content generator 308 may be further configured to sendmessages 126 to social network 114, content server 230, and/or anotherdevice over network 112. In the example above, content generator 308 maygenerate and send message 126—“Bedtime for Alice!” over network 112 tosocial network 114. In another example, a parent may generate a ruleusing interface 306 so that when descriptive data 310 indicates that atelevision in the house is on while the parent is at work, message 126may be generated. In the example, message 126 may be a notificationwhich notifies the parent that the children are watching television.Message 126 may be sent to the parent as an email, SMS (short messageservice) message, or other notification over network 112.

Among other potential benefits, a device usage message generator inaccordance with the present disclosure may automate social media postsbased on power usage of electronic devices. A device usage messagegenerator may allow a user to monitor their home or office when the useris not present. Furthermore, a device usage message generator may allowfor activity-specific content to be generated based upon currentactivities. Additionally, data generated from power consumptionmonitoring may be of use to power companies and/or for data mining. Inanother example, resources may be provisioned based on historicaldemand. For example, media files for certain television shows favored bya household may be pre-positioned on a server to avoid streaming delayswhen an event is identified relating to the television show. Deeper andeasier engagement with a social network and an increased flow ofinformation may be realized. Fitness or healthy behavior related postsmay motivate a user to ensure that such posts are consistentlygenerated.

FIG. 4 depicts a flow diagram for example process for implementing adevice usage message generator, arranged in accordance with at leastsome embodiments described herein. In some examples, the process in FIG.4 could be implemented using system 100 discussed above and could beused to generate one or more messages. An example process may includeone or more operations, actions, or functions as illustrated by one ormore of blocks S2, S4, S6, and/or S8, etc. Although illustrated asdiscrete blocks, various blocks may be divided into additional blocks,combined into fewer blocks, or eliminated, depending on the particularimplementation. Blocks may be supplemented with additional blocksrepresenting other operations, actions, or functions. The process inFIG. 4 may be used by a device usage message generator that includes adevice usage engine, such as device usage engine 104, as describedabove. The device usage engine may be configured to be in communicationwith a processor and a memory.

Processing may begin at block S2, “Detect, by a power detector, powerinformation from an electronic device.” At block S2, a power detectormay detect power information from an electronic device. Detecting powerinformation may include detecting at least one of data from theelectronic device or an analog power signal of the electronic device.

Processing may continue from block S2 to block S4, “Receive, by aprocessor, the power information from the power detector.” At block S4,a processor may receive the power information detected by the powerdetector.

Processing may continue from block S4 to block S6, “Classify, by theprocessor, the power information to produce descriptive data.” At blockS6, power information may be classified by the processor to producedescriptive data. The processor may be further configured to generateprobabilistic data relating to an activity associated with usage of anelectronic device, such as device 118. The classification of the powerinformation to produce descriptive data may be based on theprobabilistic data.

Processing may continue from block S6 to block S8, “Generate, by theprocessor, the message by applying one or more rules to the descriptivedata.” At block S8, the processor may generate the message by applyingone or more rules to the descriptive data, receive content related tothe message from the content server, and output the content receivedfrom the content server. In some examples, the content may be anadvertisement. The message may relate to an activity associated withusage of an electronic device. The processor may be further configuredto send the message to a social network.

FIG. 5 illustrates an example computer program product 500 that can beutilized to implement a device usage message generator arranged inaccordance with at least some embodiments described herein. Computerprogram product 500 may include a signal bearing medium 502. Signalbearing medium 502 may include one or more instructions 504 that, inresponse to execution by, for example, a processor, may provide thefunctionality and features described above with respect to FIGS. 1-4.Thus, for example, referring to system 100, message generator 102 mayundertake one or more of the blocks shown in FIG. 5 in response toinstructions 504 conveyed to system 100 by signal bearing medium 502.

In some implementations, signal bearing medium 502 may encompass acomputer-readable medium 506, such as, but not limited to, a hard diskdrive, a Compact Disc (CD), a Digital Video Disk (DVD), a digital tape,memory, etc. In some implementations, signal bearing medium 502 mayencompass a recordable medium 508, such as, but not limited to, memory,read/write (R/W) CDs, R/W DVDs, etc. In some implementations, signalbearing medium 502 may encompass a communications medium 510, such as,but not limited to, a digital and/or an analog communication medium(e.g., a fiber optic cable, a waveguide, a wired communications link, awireless communication link, etc.). Thus, for example, computer programproduct 500 may be conveyed to one or more modules of the system 100 byan RF signal bearing medium 502, where the signal bearing medium 502 isconveyed by a wireless communications medium 510 (e.g., a wirelesscommunications medium conforming with the IEEE 802.11 standard).

FIG. 6 is a block diagram illustrating an example computing device 600that is arranged to implement a device usage message generator, arrangedin accordance with at least some embodiments described herein. In a verybasic configuration 602, computing device 600 typically includes one ormore processors 604 and a system memory 606. A memory bus 608 may beused for communicating between processor 604 and system memory 606.

Depending on the desired configuration, processor 604 may be of any typeincluding but not limited to a microprocessor (μP), a microcontroller(μC), a digital signal processor (DSP), or any combination thereof.Processor 604 may include one more levels of caching, such as a levelone cache 610 and a level two cache 612, a processor core 614, andregisters 616. An example processor core 614 may include an arithmeticlogic unit (ALU), a floating point unit (FPU), a digital signalprocessing core (DSP Core), or any combination thereof. An examplememory controller 618 may also be used with processor 604, or in someimplementations memory controller 618 may be an internal part ofprocessor 604.

Depending on the desired configuration, system memory 606 may be of anytype including but not limited to volatile memory (such as RAM),non-volatile memory (such as ROM, flash memory, etc.) or any combinationthereof. System memory 606 may include an operating system 620, one ormore applications 622, and program data 624. Application 622 may includea device usage message generator algorithm 626 that is arranged toperform the functions and operations as described herein including thosedescribed with respect to FIGS. 1-5 in connection with system 100.Program data 624 may include device usage message generator data 628that may be useful to implement a device usage message generator as isdescribed herein. In some embodiments, application 622 may be arrangedto operate in cooperation with program data 624 and/or operating system620 such that a device usage message generator may be provided. Thisdescribed basic configuration 602 is illustrated in FIG. 6 by thosecomponents within the inner dashed line.

Computing device 600 may have additional features or functionality, andadditional interfaces to facilitate communications between basicconfiguration 602 and any required devices and interfaces. For example,a bus/interface controller 630 may be used to facilitate communicationsbetween basic configuration 602 and one or more data storage devices 632via a storage interface bus 634. Data storage devices 632 may beremovable storage devices 636, non-removable storage devices 638, or acombination thereof. Examples of removable storage and non-removablestorage devices include magnetic disk devices such as flexible diskdrives and hard-disk drives (HDDs), optical disk drives such as compactdisk (CD) drives or digital versatile disk (DVDs) drives, solid statedrives (SSDs), and tape drives to name a few. Example computer storagemedia may include volatile and nonvolatile, removable and non-removablemedia implemented in any method or technology for storage ofinformation, such as computer readable instructions, data structures,program modules, or other data.

System memory 606, removable storage devices 636 and non-removablestorage devices 638 are examples of computer storage media. Computerstorage media includes, but is not limited to, RAM, ROM, EEPROM, flashmemory or other memory technology, CD-ROM, digital versatile disks(DVDs) or other optical storage, magnetic cassettes, magnetic tape,magnetic disk storage or other magnetic storage devices, or any othermedium which may be used to store the desired information and which maybe accessed by computing device 600. Any such computer storage media maybe part of computing device 600.

Computing device 600 may also include an interface bus 640 forfacilitating communication from various interface devices (e.g., outputdevices 642, peripheral interfaces 644, and communication devices 646)to basic configuration 602 via bus/interface controller 630. Exampleoutput devices 642 include a graphics processing unit 648 and an audioprocessing unit 650, which may be configured to communicate to variousexternal devices such as a display or speakers via one or more A/V ports652. Example peripheral interfaces 644 include a serial interfacecontroller 654 or a parallel interface controller 656, which may beconfigured to communicate with external devices such as input devices(e.g., keyboard, mouse, pen, voice input device, touch input device,etc.) or other peripheral devices (e.g., printer, scanner, etc.) via oneor more I/O ports 658. An example communication device 646 includes anetwork controller 660, which may be arranged to facilitatecommunications with one or more other computing devices 662 over anetwork communication link via one or more communication ports 664.

The network communication link may be one example of a communicationmedia. Communication media may typically be embodied by computerreadable instructions, data structures, program modules, or other datain a modulated data signal, such as a carrier wave or other transportmechanism, and may include any information delivery media. A “modulateddata signal” may be a signal that has one or more of its characteristicsset or changed in such a manner as to encode information in the signal.By way of example, and not limitation, communication media may includewired media such as a wired network or direct-wired connection, andwireless media such as acoustic, radio frequency (RF), microwave,infrared (IR) and other wireless media. The term computer readable mediaas used herein may include both storage media and communication media.

Computing device 600 may be implemented as a portion of a small-formfactor portable (or mobile) electronic device such as a cell phone, apersonal data assistant (PDA), a personal media player device, awireless web-watch device, a personal headset device, an applicationspecific device, or a hybrid device that include any of the abovefunctions. Computing device 600 may also be implemented as a personalcomputer including both laptop computer and non-laptop computerconfigurations.

The present disclosure is not to be limited in terms of the particularembodiments described in this application, which are intended asillustrations of various aspects. Many modifications and variations canbe made without departing from its spirit and scope. Functionallyequivalent methods and apparatuses within the scope of the disclosure,in addition to those enumerated herein, will be apparent from theforegoing descriptions. Such modifications and variations are intendedto fall within the scope of the appended claims. The present disclosureis to be limited only by the terms of the appended claims, along withthe full scope of equivalents to which such claims are entitled. It isto be understood that this disclosure is not limited to particularmethods, reagents, compounds compositions or biological systems, whichcan, of course, vary. It is also to be understood that the terminologyused herein is for the purpose of describing particular embodimentsonly, and is not intended to be limiting.

With respect to the use of substantially any plural and/or singularterms herein, those having skill in the art can translate from theplural to the singular and/or from the singular to the plural as isappropriate to the context and/or application. The varioussingular/plural permutations may be expressly set forth herein for sakeof clarity.

In general, terms used herein, and especially in the appended claims(e.g., bodies of the appended claims) are generally intended as “open”terms (e.g., the term “including” should be interpreted as “includingbut not limited to,” the term “having” should be interpreted as “havingat least,” the term “includes” should be interpreted as “includes but isnot limited to,” etc.). If a specific number of an introduced claimrecitation is intended, such an intent will be explicitly recited in theclaim, and in the absence of such recitation no such intent is present.For example, as an aid to understanding, the following appended claimsmay contain usage of the introductory phrases “at least one” and “one ormore” to introduce claim recitations. However, the use of such phrasesshould not be construed to imply that the introduction of a claimrecitation by the indefinite articles “a” or “an” limits any particularclaim containing such introduced claim recitation to embodimentscontaining only one such recitation, even when the same claim includesthe introductory phrases “one or more” or “at least one” and indefinitearticles such as “a” or “an” (e.g., “a” and/or “an” should beinterpreted to mean “at least one” or “one or more”); the same holdstrue for the use of definite articles used to introduce claimrecitations. In addition, even if a specific number of an introducedclaim recitation is explicitly recited, those skilled in the art willrecognize that such recitation should be interpreted to mean at leastthe recited number (e.g., the bare recitation of “two recitations,”without other modifiers, means at least two recitations, or two or morerecitations). Furthermore, in those instances where a conventionanalogous to “at least one of A, B, and C, etc.” is used, in generalsuch a construction is intended in the sense one having skill in the artwould understand the convention (e.g., “a system having at least one ofA, B, and C” would include but not be limited to systems that have Aalone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). In those instances where aconvention analogous to “at least one of A, B, or C, etc.” is used, ingeneral such a construction is intended in the sense one having skill inthe art would understand the convention (e.g., “a system having at leastone of A, B, or C” would include but not be limited to systems that haveA alone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). It will be furtherunderstood by those within the art that virtually any disjunctive wordand/or phrase presenting two or more alternative terms, whether in thedescription, claims, or drawings, should be understood to contemplatethe possibilities of including one of the terms, either of the terms, orboth terms. For example, the phrase “A or B” will be understood toinclude the possibilities of “A” or “B” or “A and B.”

For any and all purposes, such as in terms of providing a writtendescription, all ranges disclosed herein also encompass any and allpossible subranges and combinations of subranges thereof. Any listedrange can be easily recognized as sufficiently describing and enablingthe same range being broken down into at least equal halves, thirds,quarters, fifths, tenths, etc. As a non-limiting example, each rangediscussed herein can be readily broken down into a lower third, middlethird and upper third, etc. As will also be understood by one skilled inthe art all language such as “up to,” “at least,” “greater than,” “lessthan,” and the like include the number recited and refer to ranges whichcan be subsequently broken down into subranges as discussed above.Finally, a range includes each individual member. Thus, for example, agroup having 1-3 cells refers to groups having 1, 2, or 3 cells.Similarly, a group having 1-5 cells refers to groups having 1, 2, 3, 4,or 5 cells, and so forth.

While various aspects and embodiments have been disclosed herein, otheraspects and embodiments are possible. The various aspects andembodiments disclosed herein are for purposes of illustration and arenot intended to be limiting, with the true scope and spirit beingindicated by the following claims.

What is claimed is:
 1. A device effective to generate a message, thedevice comprising: a power detector configured to receive a signal froman electronic device via at least one of: wired communication orwireless communication, wherein the signal includes power informationindicative of power consumed by the electronic device, the powerdetector configured to generate power event data from the powerinformation, wherein the power information comprises a digital signal oran analog signal, and wherein the power detector is coupled to anelectrical system of a building; a classification module configured tobe in communication with the power detector, the classification moduleconfigured to: receive the power event data from the power detector;analyze the power event data; and generate descriptive data from theanalyzed power event data; and a content generator configured to be incommunication with the classification module, the content generatorconfigured to receive the descriptive data from the classificationmodule and apply one or more rules to the descriptive data to generatethe message based on the descriptive data.
 2. The device of claim 1,wherein the power detector comprises: a power line sniffer; and a dataaggregator; the power line sniffer configured to: receive first powerinformation indicative of power consumed by a first electronic device;and generate first power event data based on the first powerinformation; the data aggregator configured to: be in communication witha power grid; aggregate second power information from one or morelocations in the power grid indicative of power consumed by a secondelectronic device; and generate second power event data based on thesecond power information; wherein the classification module isconfigured to be in communication with the power line sniffer and thedata aggregator, the classification module is configured to: receive thefirst power event data and the second power event data; analyze thefirst power event data and the second power event data; and generate thedescriptive data from the analyzed first power event data and theanalyzed second power event data.
 3. The device of claim 1, wherein thecontent generator is further configured to: send the message to acontent server; receive content related to the message from the contentserver; and output the content.
 4. The device of claim 3, wherein thecontent includes an advertisement.
 5. The device of claim 2, wherein thepower line sniffer is configured to receive the first power informationof at least one of an impulse response and an inductive ringingcharacteristic of the electronic device.
 6. The device of claim 1,wherein the content generator is further configured to send the messageto a social network.
 7. The device of claim 2, wherein theclassification module is configured to: generate probabilistic data thatrelates to the first power event data and the second power event data;and generate the descriptive data based on the probabilistic data.
 8. Asystem effective to generate a message, the system comprising: a powerline sniffer configured to receive first power information indicative ofpower consumed by a first electronic device and to generate first powerevent data, wherein the power line sniffer is configured to identify atype of the first electronic device based on a power consumption profilein the first power information; a data aggregator installed between apower line interface and a transmission line, and configured to be incommunication with a power grid, the data aggregator configured to:aggregate second power information from one or more locations in thepower grid, wherein the second power information is indicative of powerconsumed by a second electronic device; and generate second power eventdata based on the second power information; a classification moduleconfigured to be in communication with the power line sniffer and thedata aggregator, the classification module configured to respectivelyreceive the first power event data and the second power event data fromthe power line sniffer and from the data aggregator, analyze the firstpower event data and the second power event data, and generatedescriptive data from the analyzed first power event data and theanalyzed second power event data; and a content generator configured tobe in communication with the classification module, the contentgenerator configured to: receive the descriptive data from theclassification module; apply one or more rules to the descriptive data;and based on the one or more rules being applied to the descriptivedata, generate the message.
 9. The system of claim 8, the system furthercomprising a content server configured to be in communication with thecontent generator, wherein the content generator is configured to: sendthe message to the content server; receive content related to themessage from the content server; and output the content.
 10. The systemof claim 9, wherein the content includes an advertisement.
 11. Thesystem of claim 8, wherein the power line sniffer is configured todetect at least one of data from the electronic device or an analogpower signal of the electronic device.
 12. The system of claim 8,wherein the message relates to an activity associated with the usage ofthe first or second electronic device.
 13. The system of claim 12,wherein the content generator is further configured to send the messageto a social network.
 14. The system of claim 8, wherein theclassification module is configured to: generate probabilistic data thatrelates to at least one of the first power event data or the secondpower event data; and generate the descriptive data based on theprobabilistic data.
 15. A system effective to generate a message, thesystem comprising: one or more sensors configured to generate sensordata, wherein the one or more sensors comprise a time sensor, a weathersensor, an inertial sensor, an infrared sensor, or a sensor to indicatepresence or absence of a portable electronic device; a power linesniffer configured to receive first power information indicative ofpower consumed by a first electronic device and to generate first powerevent data based on the first power information; a data aggregatorconfigured to be in communication with a power grid, the data aggregatorconfigured to: aggregate second power information from one or morelocations in the power grid, wherein the second power information isindicative of power consumed by a second electronic device; and generatesecond power event data based on the second power information; aclassification module that comprises a hardware processor coupled to amemory that stores instructions, the hardware processor configured to bein communication with the one or more sensors, the power line snifferand the data aggregator, wherein the instructions cause the hardwareprocessor to: receive the sensor data, the first power event data andthe second power event data; analyze the sensor data, the first powerevent data and the second power event data; identify at least one of thefirst electronic device or the second electronic device based on theanalyzed sensor data, the analyzed first power event data and theanalyzed second power event data; and generate descriptive data about anactivity associated with usage of at least one of the first electronicdevice or the second electronic device; and a content generatorconfigured to be in communication with the classification module, thecontent generator configured to: apply one or more rules to thedescriptive data to identify the activity; send an indication of theactivity to a content server that is configured to send content relatedto the activity to the content generator; receive the content from thecontent server; and generate the message based on the received content.16. The system of claim 15, wherein the content includes anadvertisement related to the activity.
 17. The system of claim 15,wherein the content generator is further configured to send the messageto a social network.
 18. The system of claim 15, wherein the powersniffer is configured to detect at least one of data from the firstelectronic device or an analog power signal of the first electronicdevice.
 19. The system of claim 15, wherein the classification module isconfigured to: generate probabilistic data that relates to the activityassociated with the usage of the first electronic device or the secondelectronic device; and generate the descriptive data based on theprobabilistic data.
 20. The device of claim 1, wherein the powerdetector is further configured to detect power information indicative ofpower consumed by the electronic device.